4   Artículos

 
en línea
Ouarda Zedadra, Antonio Guerrieri, Hamid Seridi, Aymen Benzaid and Giancarlo Fortino    
Efficiently searching for multiple targets in complex environments with limited perception and computational capabilities is challenging for multiple robots, which can coordinate their actions indirectly through their environment. In this context, swarm ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Karima Khettabi, Zineddine Kouahla, Brahim Farou, Hamid Seridi and Mohamed Amine Ferrag    
Internet of Things (IoT) systems include many smart devices that continuously generate massive spatio-temporal data, which can be difficult to process. These continuous data streams need to be stored smartly so that query searches are efficient. In this ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Ouarda Zedadra, Antonio Guerrieri and Hamid Seridi    
In the literature, several exploration algorithms have been proposed so far. Among these, Lévy walk is commonly used since it is proved to be more efficient than the simple random-walk exploration. It is beneficial when targets are sparsely distributed i... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Zineddine Kouahla, Ala-Eddine Benrazek, Mohamed Amine Ferrag, Brahim Farou, Hamid Seridi, Muhammet Kurulay, Adeel Anjum and Alia Asheralieva    
The past decade has been characterized by the growing volumes of data due to the widespread use of the Internet of Things (IoT) applications, which introduced many challenges for efficient data storage and management. Thus, the efficient indexing and sea... ver más
Revista: Future Internet    Formato: Electrónico

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